Anna Wiksten
Impact in
- Rheumatology top 10%
- Spondyloarthritis Studies and Treatments
- Rheumatoid Arthritis Research and Therapies
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- Autoimmune and Inflammatory Disorders Research
Papers in
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- Spondyloarthritis Studies and Treatments 3
- Rheumatoid Arthritis Research and Therapies 2
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- Meta-analysis and systematic reviews 3
- Co-authors
- Päivi Hämäläinen (2 shared papers)Gerta Rücker (1 shared paper)Juhani Ruutiainen (2 shared papers)Guido Schwarzer (1 shared paper)Eija Rosti‐Otajärvi (2 shared papers)Hanno B. Richards (2 shared papers)Ricardo Blanco (3 shared papers)Brian Porter (3 shared papers)
- Journals
- Brain and Behavior (2 papers)Pain (1 paper)Journal of Hypertension (1 paper)Annals of the Rheumatic Diseases (1 paper)Statistics in Medicine (1 paper)
- Partner nations
- SwitzerlandFinlandGermany
In The Last Decade
Anna Wiksten
11 papers receiving 336 citations
Peers
Comparison fields: 5 of 79
- Rheumatology 132
- Hematology 64
- Immunology 103
- Statistics, Probability and Uncertainty 27
- Pathology and Forensic Medicine 66
Countries citing papers authored by Anna Wiksten
This map shows the geographic impact of Anna Wiksten's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Anna Wiksten with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Wiksten more than expected).
Fields of papers citing papers by Anna Wiksten
This network shows the impact of papers produced by Anna Wiksten. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Anna Wiksten. The network helps show where Anna Wiksten may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Wiksten, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 113 | |
| 2 | 2017 | 70 | |
| 3 | 2016 | 53 | |
| 4 | 2020 | 25 | |
| 5 | 2021 | 21 | |
| 6 | 2017 | 18 | |
| 7 | 2014 | 13 | |
| 8 | 2017 | 11 | |
| 9 | 2018 | 10 | |
| 10 | 2020 | 5 | |
| 11 | Demonstration of Preclinical Efficacy in Pulmonary Fibrosis Models and of Clinical Safety, Tolerability, and Pharmacodynamic Effects of the First-in-Class Angiotensin AT2-Receptor Agonist Compound 21 (C21) | 2018 | 1 |
About Anna Wiksten
Anna Wiksten is a scholar working on Rheumatology, Statistics, Probability and Uncertainty, Pathology and Forensic Medicine, Hematology and Immunology, having authored 11 papers that have together received 340 indexed citations. Recurring topics across this work include Spondyloarthritis Studies and Treatments (3 papers), Meta-analysis and systematic reviews (3 papers), Rheumatoid Arthritis Research and Therapies (2 papers), Autoimmune and Inflammatory Disorders Research (2 papers), Psoriasis: Treatment and Pathogenesis (2 papers), Multiple Sclerosis Research Studies (2 papers), Statistical Methods in Clinical Trials (2 papers) and Powdery Mildew Fungal Diseases (1 paper). The work is most often cited by research in Rheumatology (132 citations), Hematology (64 citations), Immunology (103 citations), Statistics, Probability and Uncertainty (27 citations) and Pathology and Forensic Medicine (66 citations). Anna Wiksten has collaborated with scholars based in Switzerland, Finland and Germany. Frequent co-authors include Päivi Hämäläinen, Gerta Rücker, Juhani Ruutiainen, Guido Schwarzer, Eija Rosti‐Otajärvi, Hanno B. Richards, Ricardo Blanco, Brian Porter, Sibylle Haemmerle and Hideto Kameda. Their work appears in journals such as Brain and Behavior, Pain, Journal of Hypertension, Annals of the Rheumatic Diseases and Statistics in Medicine.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.